高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

基于超螺旋精度提升机制的OFDM网络信道噪声消除算法

上一篇

下一篇

焦庆伟1,周岩彬2. 基于超螺旋精度提升机制的OFDM网络信道噪声消除算法[J]. 西南师范大学学报(自然科学版), 2018, 43(11): 42-48. doi: 10.13718/j.cnki.xsxb.2018.11.008
引用本文: 焦庆伟1,周岩彬2. 基于超螺旋精度提升机制的OFDM网络信道噪声消除算法[J]. 西南师范大学学报(自然科学版), 2018, 43(11): 42-48. doi: 10.13718/j.cnki.xsxb.2018.11.008
shu
JIAO Qing-wei1, ZHOU Yan-bin2. Channel Noise Cancellation Algorithm for OFDM Network Based on Super Helix Precision Lifting Mechanism[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 42-48. doi: 10.13718/j.cnki.xsxb.2018.11.008
Citation: JIAO Qing-wei1, ZHOU Yan-bin2. Channel Noise Cancellation Algorithm for OFDM Network Based on Super Helix Precision Lifting Mechanism[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 42-48. doi: 10.13718/j.cnki.xsxb.2018.11.008
shu

基于超螺旋精度提升机制的OFDM网络信道噪声消除算法

  • 1. 河南农业职业学院 信息工程学院, 河南 洛阳, 471000;
    2. 河南科技大学 信息工程学院, 河南 洛阳, 471023

Channel Noise Cancellation Algorithm for OFDM Network Based on Super Helix Precision Lifting Mechanism

  • 1. College of Information Engineering, Henan Agricultural Vocational College, Luoyang Henan 471000, China;
    2. College of Information Engineering, Henan University of Science and Technology, Luoyang Henan 471023, China

  • 摘要: 为解决当前OFDM网络信道噪声消除算法难以规避信道中的窄带莱斯噪声，且抗信道衰落能力不强，以及信道间普遍存在严重的频率干涉问题，提出了一种基于超螺旋精度提升机制的OFDM网络信道噪声消除算法.首先，根据各个传输子信道具有差异化的频率载波特性，将传输子信道等价为接收背景中的接收点，从而构建了超螺旋接收结构，有效消除不同传输子信道间存在的频率干扰特性，降低信道窄带莱斯噪声对信号预发射过程的衰落影响；随后，基于角度识别方式进行锐-钝识别，并结合拐点思想，采用序列重排技术，将待发射信号进行消波处理，并进行自旋精度提升，从而提高了其抗窄带莱斯噪声的性能.仿真实验表明：与常见的超高频精度自适应机制（UHF adaptive，UHFA）、共线度自旋精度提升机制（the degree of accuracy of collinear spin，DACS）相比，本文算法与理想状态下的OFDM功率谱密度曲线最为接近，具有更高的信号增益水平与更低的信道误码率.
    Abstract: In order to solve the current OFDM network channel noise elimination algorithm to eliminate the narrowband Rayleigh noise existing in the channel, and the presence of anti fading ability and inter channel existing serious frequency interference problem, an algorithm has been proposed of eliminating noise of OFDM network based on super precision spiral lifting mechanism; based on the characteristics of each carrier frequency transmission the sub channel has difference, transmission of the sub channel is equivalent to a reception point received in the background, the construction of supercoiled receiving structure, the structure can effectively avoid frequency interference characteristics in different transmission channel, effectively improve the signal emission intensity, reduce the effect of fading channel narrowband Rayleigh noise signal of the pre launch process then based on the acute angle obtuse; -combined with the inflection point of thought, construction of precision machine adopts spin rearrangement sequence elimination the processing of the transmitted signal is eliminated, which greatly improves the performance of the algorithm. Simulation results show that with the common precision ultra high frequencyspin lifting mechanism compared to the algorithm can effectively improve the signal gain, reducing the channel error rate, and the OFDM power spectrum under ideal state the density curve is the most close, with significant practical advantages.
  • 加载中
  • [1] OUYANG A.Parallel Hybrid PSO with CUDA for Heat Conduction Equation[J].Computer & Fluids,2015,110(1):198-1210.
    [2] ADALI T,LI H.A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function[J]. IEEE Transactions om Neural Networks,2008,19(3):408-420.
    [3] NIKMAN T. New Self-Adaptive Inspired Algorithm for Unit Commitment Problem[J]. IET Science Measurement & Technology,2014,8(6):505-517.
    [4] NAVARATNARAJAH S,SAEED A,DIANATI M,et al.Energy Efficiency in Heterogeneous Wireless Access Networks[J].IEEE Wire Communications,2013,20(2):37-43.
    [5] XU Q,QUAN X,PAN W S.Analysis and Experimental Verification of the Interference Suppression Ability of the OFDM[J]. The Journal of China Universities of Posts and Telecommunications,2014,5(42):24-30.
    [6] ARUN K,SHIKHA B.Design and Performance Analysis of OFDM and FBMC Modulation Techniques[J].The Scientific Bulletin of Electrical Engineering Faculty,2017,17(2),1527-1536.
    [7] JADDI N S.Optimization of Neural Network Model Using Modified Bat Inspired Algorithm[J]. Applied Soft Computing,2015,37(17):71-86.
    [8] 李英善, 段燕辉, 王猛, 等.一种降低OFDM系统峰均比的循环反馈SLM方法[J].重庆邮电大学学报(自然科学版), 2014, 26(1):49-53.
    [9] 黄敏, 李兵兵. 基于整体最小二乘的联合信道估计及OFDM信号检测算法[J]. 电子与信息学报, 2014, 6(12):1448-1453.
    [10] 何娣, 卢为党, 张佳俊, 等.基于用户公平性的抗干扰频谱接入方法[J].西南师范大学学报(自然科学版), 2015, 40(11):13-19.
    [11] YANG Z Y.A Convex Geometry-Based Blind Source Separation Method for Separating Nonegtive Sources[J].IEEE Teansations on Neural Networks and Learning Systems,2015,26(8):1635-1644.
    [12] 李姣军, 唐娜, 苏理云, 等.WPDM-CDMA系统中的子载波分配算法研究[J].西南大学学报(自然科学版), 2012, 34(7):125-129.
    [13] JENG S S, CHEN J M. Efficient PAPR Reduction Reduction in OFDM Systems Based on a Companding Technique with Trapezium Distribution[J]. IEEE Trans Broadcasting,2011,57(2):291-298.
    [14] RAHMATALLAN Y, MOHAN S. Peak-to-Average Power Ratio Reduction in OFDM Systems:a Survey Taxonomy[J]. IEEE Communications Surveys &Turorials, 2013, 15(4):1567-1592.
    [15] SANDEEP S,HARMANJEET S, SUNIL A.Design of a Novel Hybrid ICI Mitigation Technique Through Wavelet Implication in OFDM System[J].Digital Communications and Networks,2017,8(1):960-971.
    [16] JIANG T, LI C. Simple Alternative Multisequences for PARA Reduction Without Side Information in SFBC MIMO-OFDM Systems[J]. IEEE Ttans Vehicular Technology,2012,61(7):3311-3315.
  • 加载中
计量
  • 文章访问数:  825
  • HTML全文浏览数:  651
  • PDF下载数:  89
  • 施引文献:  0
出版历程
  • 收稿日期:  2017-03-02

基于超螺旋精度提升机制的OFDM网络信道噪声消除算法

  • 1. 河南农业职业学院 信息工程学院, 河南 洛阳, 471000;
    2. 河南科技大学 信息工程学院, 河南 洛阳, 471023
  • 收稿日期:  2017-03-02

摘要: 为解决当前OFDM网络信道噪声消除算法难以规避信道中的窄带莱斯噪声，且抗信道衰落能力不强，以及信道间普遍存在严重的频率干涉问题，提出了一种基于超螺旋精度提升机制的OFDM网络信道噪声消除算法.首先，根据各个传输子信道具有差异化的频率载波特性，将传输子信道等价为接收背景中的接收点，从而构建了超螺旋接收结构，有效消除不同传输子信道间存在的频率干扰特性，降低信道窄带莱斯噪声对信号预发射过程的衰落影响；随后，基于角度识别方式进行锐-钝识别，并结合拐点思想，采用序列重排技术，将待发射信号进行消波处理，并进行自旋精度提升，从而提高了其抗窄带莱斯噪声的性能.仿真实验表明：与常见的超高频精度自适应机制（UHF adaptive，UHFA）、共线度自旋精度提升机制（the degree of accuracy of collinear spin，DACS）相比，本文算法与理想状态下的OFDM功率谱密度曲线最为接近，具有更高的信号增益水平与更低的信道误码率.

English Abstract

    全文HTML

参考文献 (16)

目录

版权所有：西南师范大学学报(自然科学版)

地址：重庆市北碚区西南大学 电话：023-68252540，68254576，68254478 电子邮箱：xbbjb@swu.edu.cn

本系统由北京仁和汇智信息技术有限公司开发

/

返回文章
返回